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Conversation Experience Designer

Wonderful

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This role on the market

12 open conversation roles across 9 companies are on ApplySarthi right now.

What conversation roles keep asking for: LLMs (67%), Machine learning (25%), NLP (25%), CRM (17%), Figma (17%), RAG (17%) — counted across their open postings here.

LLMs jobs · NLP jobs

Wonderful has 124 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for conversation roles keep coming back to LLMs, Machine learning, NLP, CRM. Practise those questions before you sit with Wonderful.

Questions you are likely to be asked

  1. Why do you want to join Wonderful?
  2. What is your experience with LLMs? Tell me one thing you learned the hard way.
  3. How do you balance what users ask for with what the business needs?
  4. Walk me through a design from your portfolio, from the problem to the result.
  5. Tell me about design feedback you disagreed with. What happened?

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About the Role: We're looking for a Conversation Experience Designer to shape how people experience talking with our AI agents: the words, rhythm, and relational dynamics that make an interaction feel clear, credible, and worth coming back to. This role sits at the intersection of linguistics, communication design, and applied persuasion/rapport techniques. You'll define how our agents build trust, handle hesitation and uncertainty, recover gracefully from misunderstanding, and guide people toward action, all in service of one outcome: people choosing to keep using the agent. Key Responsibilities: Conversation & Flow Design: Design end-to-end dialogue journeys (onboarding, error recovery, edge cases, escalation/hand-off) from the user's cognitive and emotional experience — where they get confused, anxious, or drop off . Trust & Rapport Patterns : Apply linguistic and rapport-building techniques (framing and reframing, pacing-and-leading, presupposition, mirroring, tension/objection defusing) to reduce user hesitation and increase follow-through. Prompt Engineering & Tone of Voice: Draft and refine system instructions, guardrails, and context guidelines to shape agent behavior and maintain brand voice. Prototyping & Testing: Build, simulate, and iterate on agent responses across various user personas and scenarios. Performance Analysis: Review real transcripts to flag tone mismatches, unclear phrasing, and comprehension failures. Qualifications: Experience in UX Writing, Conversation Design, Conversational UX, or Prompt Design for LLM-driven applications. Working familiarity with NLP (Neuro-Linguistic Programming) frameworks — rapport techniques, framing/reframing, presupposition, pacing-and-leading — applied pragmatically as tested language patterns, not asserted as clinical fact. Strong understanding of how Large Language Models operate, including context windows, system prompts, and tool-calling logic. Ability to transform complex business rules into natural, concise conversational experiences. Portfolio showing conversation flows, prompt strategies, or interactive agent prototypes. Candidate Privacy Notice

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Listed on ashby · posted 2026-09-08. ApplySarthi collects openings and links to application pages; the role is advertised by Wonderful, not by us.